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For Companies At a Glance
- Tasks: Join our team to deliver bespoke algorithms and tackle real-world AI challenges.
- Company: Faculty, a leader in human-centric AI with a diverse and innovative culture.
- Benefits: Gain access to powerful resources, professional growth, and a collaborative environment.
- Why this job: Make a tangible impact in AI while working alongside brilliant minds in the field.
- Qualifications: Experience in data science or quantitative fields, strong programming skills, and a passion for innovation.
- Other info: Dynamic team with opportunities for learning and career advancement.
The predicted salary is between 28800 - 48000 ÂŁ per year.
About Faculty
At Faculty, we transform organisational performance through safe, impactful and human‑centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. This will be a fixed‑term contract that should run until March 29th, 2026.
Why now?
We’re in a period of significant growth, expanding our capacity to serve a diverse range of customers and apply AI to real‑world problems with tangible impact. To meet this demand and maintain our high standards of delivery, we need skilled Data Scientists to join us for a temporary period and own end‑to‑end project delivery, build strong customer relationships, and help us scale our business.
What you’ll be doing:
As a Data Scientist in our Applied AI team unit you will be part of project teams that deliver bespoke algorithms to our clients across a range of different sectors. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high‑quality software within the allocated timeframes. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.
Who we’re looking for:
- Proven experience in either a professional data science position or a quantitative academic field
- Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe
- An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit‑Learn) and familiarity with a deep‑learning framework (e.g. TensorFlow, PyTorch, Caffe)
- A high level of mathematical competence and proficiency in statistics
- A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time‑series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill
- An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment
- Some commercial experience, particularly if this involved client‑facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience
- Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery
What we can offer you:
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.
Data Scientist - Fixed Term Contract employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Fixed Term Contract
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Faculty employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients and team members at Faculty.
✨Tip Number 4
Don't just apply anywhere; apply through our website! Tailor your application to highlight how your experience aligns with Faculty's mission. Show us why you're the perfect fit for our team!
We think you need these skills to ace Data Scientist - Fixed Term Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your relevant experience, especially in data science and programming. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a great fit for Faculty. Let us know what excites you about this opportunity!
Showcase Your Projects: If you’ve worked on any interesting data science projects, make sure to mention them! We love seeing real-world applications of your skills, so share any relevant experiences that demonstrate your expertise.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Data Science Fundamentals
Brush up on your knowledge of data science techniques and libraries. Be prepared to discuss your experience with Python, NumPy, Pandas, and any deep learning frameworks you’ve used. This will show that you’re not just familiar with the tools but can also apply them effectively in real-world scenarios.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to share examples of how you've tackled complex problems in previous roles. Highlight your ability to convert business challenges into mathematical frameworks and discuss any innovative algorithms you've developed. This demonstrates your resourcefulness and creativity.
✨Communicate Clearly and Effectively
Since you'll be working closely with clients, strong communication skills are a must. Practice explaining technical concepts in simple terms, and prepare to discuss how you've successfully managed client relationships in the past. This will help convey your commercial awareness and persuasiveness.
✨Prepare for Technical Questions
Expect to face technical questions that assess your programming skills and understanding of data science principles. Review common interview questions related to machine learning, statistics, and SQL querying. Being well-prepared will boost your confidence and help you shine during the interview.
